A delay-tolerant network architecture for challenged internets
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Spray and wait: an efficient routing scheme for intermittently connected mobile networks
Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking
A measurement study of vehicular internet access using in situ Wi-Fi networks
Proceedings of the 12th annual international conference on Mobile computing and networking
Relays, base stations, and meshes: enhancing mobile networks with infrastructure
Proceedings of the 14th ACM international conference on Mobile computing and networking
Cabernet: vehicular content delivery using WiFi
Proceedings of the 14th ACM international conference on Mobile computing and networking
The ONE simulator for DTN protocol evaluation
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
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With the advantage of high bandwidth and low cost, WLAN is widely regarded as an appealing technology for wireless access. However, WLAN only provides very limited coverage which is no more than hundreds of meters, making users experience intermittent connectivity when they move near Wi-Fi access points (AP). To fill in the gaps between APs, we present a new framework, which combines infrastructure composed of APs with the concept of DTN to improve network performance. In particular, when a mobile client has moved out of the reach of the infrastructure, our framework predicts the trajectory of this client and lets the APs in the proximity identify suitable relay nodes among the mobile clients that happen to visit those APs. If some passing by mobile clients have a chance to encounter the target client soon, the corresponding AP(s) will transfer the data destined to the target client to those mobile clients, in the hope that they will accomplish the delivery in a "store-carry-forward" fashion. In this way, the target client may be able to receive data even before it arrives at an AP. Our evaluation shows that our framework fairly improves the performance in terms of both delivery delay and delivery ratio, with controlled overhead.